Job Description
Staff ML Engineer, Applied AI
Remote or on-site in Boulder, CO / Charlotte, NC / New York, NY
Position Overview
We are seeking a highly skilled Staff Machine Learning Engineer specialized in Applied AI to lead innovative projects at the intersection of AI/ML and Fintech. The ideal candidate will drive the development and implementation of advanced machine learning models and solutions, enhancing our product offerings and improving customer experiences.
- Key Responsibilities
- Design and develop machine learning models and algorithms for applied AI projects in the fintech domain.
- Collaborate with cross-functional teams to integrate AI/ML capabilities into existing systems and products.
- Research and implement cutting-edge technologies such as large language models (LLMs) and retrieval-augmented generation (RAG).
- Develop and maintain scalable data pipelines and infrastructure to support AI initiatives.
- Provide technical leadership and mentorship to junior engineers in the team.
- Evaluate and optimize model performance, ensuring high accuracy and efficiency in production environments.
- Stay updated with the latest advancements in AI/ML, and apply best practices to enhance project outcomes.
- Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in machine learning and artificial intelligence, with a focus on applied projects.
- Strong programming skills in Python, with experience in relevant ML libraries and frameworks.
- Familiarity with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
- Experience in the fintech industry, with an understanding of financial products and services.
- Demonstrated ability to work on complex problems and deliver innovative solutions.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Benefits
- Equity ownership is a meaningful component of the total compensation package
- Eligibility for a full benefits program, including:
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Flexible paid time off (PTO)
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